Launch Potato Logo

Launch Potato

Lead Machine Learning Engineer, Ad Performance

Reposted 13 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
165K-215K
Senior level
Remote
Hiring Remotely in United States
165K-215K
Senior level
The Lead Machine Learning Engineer will develop scalable ML systems for optimizing advertising performance, collaborating with global teams and applying advanced ML techniques.
The summary above was generated by AI

WHO ARE WE?

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

WHY JOIN US?

At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. 

We turn audience attention into action through data, machine learning, and relentless optimization.

Are you a Machine Learning Engineer with a passion for bridging technical expertise and business acumen? Do you thrive in building scalable, reliable systems that directly move revenue? If you’re eager to collaborate globally, face challenges head-on, and make substantial impact, we’re looking for you to join our dynamic team.

In this role, you’ll work at the intersection of advertising algorithms, personalization, and optimization… building the ML software and infrastructure that drives ad performance and user engagement at scale.

COMPENSATION: $165,000 - $215,000 per year, paid semi-monthlyMUST HAVE

You bring both the technical depth to design and deploy complex ML systems and the business intuition to know what actually moves KPIs. Specifically:

  • 7+ years of software development and ML engineering, including 3+ years focused on advertising systems
  • Proven experience optimizing ad performance using both mature models and emerging ML technologies
  • Expertise in one or more ML areas: Recommendation Systems, Advertising Algorithms, NLP, or CV
  • Proficiency with Python, SQL, and modern ML frameworks (TensorFlow, PyTorch)
  • Familiarity with distributed data processing (Spark, Ray) and cloud infrastructure (AWS/GCP)
  • Strong analytical problem-solving skills with a proven track record of delivering measurable results
  • Excellent communication, teamwork, and project management skills
YOUR ROLE

Your mission: Elevate Launch Potato’s advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience. You’ll collaborate across teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at global scale.

OUTCOMES
  • Develop and scale advertising algorithms that optimize engagement and revenue simultaneously
  • Apply cutting-edge ML approaches (e.g., reinforcement learning, deep learning for ranking) to improve ad performance
  • Build scalable infrastructure to support real-time ad decisioning across millions of requests per day
  • Conduct rigorous experiments (A/B and multivariate tests) to measure model impact on business KPIs
  • Continuously improve ETL pipelines and monitoring systems to ensure reliable ad delivery
  • Collaborate with global teams across product, data, and engineering to launch high-impact ad features
  • Stay ahead of emerging technologies and integrate them into our ML stack when they create competitive advantage
COMPETENCIES
  • Impact-Oriented: You align ML systems to business outcomes and measure what matters
  • Technical Builder: You write clean, production-ready code and architect scalable systems
  • Collaborative: You work seamlessly with global teams and communicate complex ideas clearly
  • Resilient & Determined: You don’t shy from challenges and drive projects through to impact
  • Curious Innovator: You keep pace with ML/AI trends and creatively apply them to advertising
  • Analytical Problem-Solver: You break down complex systems and find data-driven solutions
TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company… which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

Want to accelerate your career? Apply now!

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. 

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Top Skills

AWS
GCP
Python
PyTorch
Ray
Spark
SQL
TensorFlow

Similar Jobs

13 Days Ago
Remote
United States
165K-215K
Senior level
165K-215K
Senior level
AdTech • Big Data • Consumer Web • Digital Media • Marketing Tech
The Lead ML Engineer will design and deploy complex ML systems to optimize ad performance, working with global teams to enhance user engagement and drive revenue.
Top Skills: AWSGCPPythonPyTorchRaySparkSQLTensorFlow
An Hour Ago
Easy Apply
Remote
United States
Easy Apply
176K-198K Annually
Senior level
176K-198K Annually
Senior level
Insurance
The Engineering Manager will lead a team of engineers, support their development, drive projects, and ensure alignment with business goals, while promoting a culture of feedback and collaboration.
Top Skills: AirflowAiven DebeziumArcgisBigQueryBigQueryCircleCICloud FunctionsCloud RunCloudsqlComposerDatadogFivetranGcp GcsGitGoGCPJupyter NotebooksKafkaKubernetesNuxtPostgresPub/SubPythonRSQLTailwindTerraformVuejsWebpack
An Hour Ago
Easy Apply
Remote
United States
Easy Apply
146K-164K Annually
Senior level
146K-164K Annually
Senior level
Insurance
Design, build, test and maintain backend systems for Openly's insurance platform, collaborating with partners to develop APIs and improve internal tooling.
Top Skills: ArcgisBigQueryCircleCICloud FunctionsComposerDatadogGCPGitGoJupyter NotebooksKafkaPostgresPythonRSQLTerraform

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account